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Institution

Mississippi State University

EducationStarkville, Mississippi, United States
About: Mississippi State University is a education organization based out in Starkville, Mississippi, United States. It is known for research contribution in the topics: Population & Catfish. The organization has 14115 authors who have published 28594 publications receiving 700030 citations. The organization is also known as: The Mississippi State University of Agriculture and Applied Science & Mississippi State University of Agriculture and Applied Science.


Papers
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Journal ArticleDOI
TL;DR: The Cover, Copy, and Compare (CCC) intervention as discussed by the authors is a simple, efficient, self-managed academic intervention that can be used to improve accuracy, fluency and maintenance across students, curricula objectives, academic skill domains, and settings.
Abstract: Cover, Copy, and Compare (CCC) is a simple, efficient, self-managed academic intervention that can be used to improve accuracy, fluency, and maintenance across students, curricula objectives, academic skill domains, and settings In it's simplest form CCC requires students to look at an academic stimulus (eg, for spelling the stimulus would be a written a word) cover the stimulus, respond by copying the stimulus (eg, writing the word), and evaluate the responses by comparing it to the original stimulus The CCC procedure and research that supports the generalizability and ecological validity of this procedure is described and analyzed Following this analysis, recommendations for implementing Cover, Copy, and Compare in educational settings are provided

143 citations

Journal ArticleDOI
TL;DR: Feed and water intake, total excreta, and excretory DM were all increased in ACTH-treated hens, and Reproduction in hens was negatively affected by ACTH treatment, as measured by cessation of laying on the third day of treatment, atretic follicles, and decreased oviduct weight.

143 citations

Journal ArticleDOI
TL;DR: The present study suggests that N. exaltata is more tolerant to mercury exposure than P. vittata, which has been also reported to be more tolerance to arsenic exposure, and may have potential for phytostabilization of soils or phytofiltration of waste water contaminated with mercury.
Abstract: Anatomical, histochemical and biochemical approaches were used to study mercury uptake and phytotoxicity as well as anti-oxidative responses in two species of ferns [Chinese brake fern (Pteris vittata) and Boston fern (Nephrolepis exaltata)], grown in a hydroponic system. The roots of both cultivars accumulated large amounts of mercury, but exhibited limited mercury translocation to shoots. Mercury exposure led to more pronounced phytotoxicity accompanied by stronger oxidative stress in the shoots of P. vittata than in N. exaltata. N. exaltata established a more effective anti-oxidative system against mercury-induced oxidative stress than did P. vittata. The activity of anti-oxidative enzymes (superoxide dismutase, catalase and glutathione reductase) increased. The reduced ascorbate (ASA) and oxidized ascorbate (DHA) are regulated. Mercury exposure led to an increase in the concentration of glutathione (GSH) in both fern species. The present study suggests that N. exaltata is more tolerant to mercury exposure than P. vittata, which has been also reported to be more tolerant to arsenic exposure. N. exaltata may thus have potential for phytostabilization of soils or phytofiltration of waste water contaminated with mercury.

143 citations

Journal ArticleDOI
TL;DR: Fractional Fourier entropy (FrFE)-based hyperspectral anomaly detection method can significantly distinguish signal from background and noise, and is implemented in the optimal fractional domain.
Abstract: Anomaly detection is an important task in hyperspectral remote sensing. Most widely used detectors, such as Reed–Xiaoli (RX), have been developed only using original spectral signatures, which may lack the capability of signal enhancement and noise suppression. In this article, an effective alternative approach, fractional Fourier entropy (FrFE)-based hyperspectral anomaly detection method, is proposed. First, fractional Fourier transform (FrFT) is employed as preprocessing, which obtains features in an intermediate domain between the original reflectance spectrum and its Fourier transform with complementary strengths by space-frequency representations. It is desirable for noise removal so as to enhance the discrimination between anomalies and background. Furthermore, an FrFE-based step is developed to automatically determine an optimal fractional transform order. With a more flexible constraint, i.e., Shannon entropy uncertainty principle on FrFT, the proposed method can significantly distinguish signal from background and noise. Finally, the proposed FrFE-based anomaly detection method is implemented in the optimal fractional domain. Experimental results obtained on real hyperspectral datasets demonstrate that the proposed method is quite competitive.

142 citations

Journal ArticleDOI
TL;DR: In this article, the authors collected spoken language data from six adult second language (L2) English learners over a year-long period in order to explore the development of word polysemy and frequency use.
Abstract: Spoken language data were collected from six adult second language (L2) English learners over a year-long period in order to explore the development of word polysemy and frequency use. The data were analyzed both quantitatively and qualitatively. In the first analysis, the growth of WordNet polysemy values and CELEX word frequency values were examined. For both indexes, significant growth was demonstrated from the 2nd to the 16th week of observation, after which values remained stable. Growth in word polysemy values also correlated with changes in word frequency, supporting the notion that frequency and polysemy effects in word use are related. A second analysis used the WordNet dictionary to explore qualitative changes in word sense use concerning six frequent lexical items in the learner corpus (think, know, place, work, play, and name). A qualitative analysis compared normalized frequencies for each word sense in the first trimester of the study to the later trimesters. Differences in the number of word senses used across trimesters were found for all six words. Analyses 1 and 2, taken together, support the notion that L2 learners begin to use words that have the potential for more senses during the first 4 months; learners then begin to extend the core meanings of these polysemous words. These findings provide further insights into the development of lexical proficiency in L2 learners and the growth of lexical networks.

142 citations


Authors

Showing all 14277 results

NameH-indexPapersCitations
Naomi J. Halas14043582040
Bin Liu138218187085
Shuai Liu129109580823
Vijay P. Singh106169955831
Liangpei Zhang9783935163
K. L. Dooley9532063579
Feng Chen95213853881
Marco Cavaglia9337260157
Tuan Vo-Dinh8669824690
Nicholas H. Barton8426732707
S. Kandhasamy8123550363
Michael S. Sacks8038620510
Dinesh Mohan7928335775
James Mallet7820921349
George D. Kuh7724830346
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202347
2022247
20211,725
20201,620
20191,465
20181,467